基于伪Zernike矩和Contourlet变换的抗几何攻击图像水印算法  

Anti-geometric-attack Watermarking Algorithm Based on Pseudo-Zernike Moments and Contourlet Transform

作　　者：朱丹丹[1,2] 吕鲤志 

机构地区：[1]东北大学信息科学与工程学院,沈阳110819 [2]通化师范学院计算机科学与技术学院,通化134002 [3]太原理工大学计算机科学与技术学院,太原030024

出　　处：《计算机科学》2016年第6期131-134,共4页Computer Science

基　　金：国家自然科学基金(61373100)资助

摘　　要：在研究Contourlet变换和伪Zernike矩理论的基础上,提出了一种新颖的抗几何攻击数字图像水印算法。该算法首先用Contourlet变换处理原始图像,提取出图像的低频区域;然后依据人眼的视觉特性以及嵌入水印前、后系数的相关性,采取量化调制伪Zernike矩的幅值将数字水印信息嵌入图像的低频区域中。其无须借助于原始图像,就能进行水印提取,实现真正的盲检测。实验结果表明,该算法对平移变换的抵抗力最强,对旋转和缩放也有很好的抵抗力,而且经过JPEG压缩之后,数字水印也不会失真。This paper presented a novel anti-geometric-attack digital image watermarking algorithm based on pseudo- Zernike moments and Contourlet transform knowledge. It uses Contourlet transform to extract low frequency sub-band of the image. We embeded the digital watermark information into this low sub-band by quantizing the magnitudes of the selected pseudo-Zernike moments, according to the human visual system （HVS） and the correlation between the coefficients of the embedded watermark before and after. Without the aid of the original image, the watermark can be extracted and the real blind detection is realized. According to the experimental results,the proposed watermarking algorithm has the best resistance to shift transform, and has good resistance to rotation and zoom. After JPEG compression, the digital watermark is not distorted.

关 键 词：图像水印 几何攻击 CONTOURLET变换 伪ZERNIKE矩 低频区域 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]